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Wind turbines are a valuable source of renewable energy, but face challenges related to unpredictable wind speed. The turbine must be able to control its angle to catch enough wind to generate electricity, while avoiding excess wind that may damage the turbine. Zhou and Wang explore different types of smart turbine controllers to see which appears optimal for electricity generation.

The authors compare rates of renewable energy adoption between states that historically vote for democrats versus republicans in presidential elections.

The authors analyze differences in sports commentary between men's matches and women's matches during the 2023 US Open.

Here the authors sought to find a more ethical and efficient way to temporary paralyze a cockroach by comparing the results of two methods. By comparing immobilization through immersion in cold water and exposure to a 100 % CO₂ environment, they found that cockroaches could be immobilized and recovered significantly faster when exposed to CO₂.

The authors investigate the relationship between self-esteem, social desirability, and emotion regulation in children and adolescents.

The authors looked at potential downstream effects of raising the minimum wage. Specifically they focused on taxable wages, employment, and firm counts.

Here, the researchers investigated how exposure to active versus passive music affects a teenager's ability to perform a challenging task, namely a Sudoku puzzle, under stressful conditions. Following testing 75 high school teenagers split into two group, the researchers found that singing in a choir (active music) yielded a greater improvement in performance compared to passive listening for brief time periods.

Sodium dodecyl sulfate (SDS), a detergent component, can harm plant growth when it contaminates soil and waterways. Authors explored the potential of lactic acid bacteria (LAB) to mitigate SDS-induced stress on plants.

The authors use machine learning to analyze electroencephalogram data and identify slowing patterns that can indicate undetected disorders like epilepsy or dementia

The authors looked at different models of semantic segmentation to determine which may be best used in the future for segmentation of CT scans to help diagnose certain conditions.